2019
DOI: 10.1108/wje-08-2018-0281
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Prediction of heat affected zone and other mechanical properties of welded joints of HSLA A588-B of jet blast deflector

Abstract: Purpose The purpose of this paper is to predict and optimize the width of heat affected zone (HAZ) with better mechanical properties using suitable welding process and parameters for the fabrication of jet blast deflector (JBD) (high strength low alloy material of grade A588-B was used for fabrication) so that the JBD can sustain high exhaust parameters, because there are different welding zones formed due to the rapid cooling of weld metals. Out of the various zones of welding, HAZ remains the weakest zone in… Show more

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Cited by 5 publications
(2 citation statements)
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“…The many sensors of the engine collect and acquire multi-source monitoring data reflecting the engine exhaust gas, which is essentially a multi-dimensional data set, and each dimension is time series data, and effective methods need to be adopted to fuse these multi-dimensional data [18]. PCA, as one of the common data fusion methods, is simple in principle and can efficiently realize the mapping conversion of the data set from high-dimensional to low-dimensional, in line with the idea of fusing multi-dimensional data into The idea of low-dimensional data representation, therefore it was decided to use PCA to achieve the fusion of engine exhaust multi-source monitoring data.…”
Section: Data Fusionmentioning
confidence: 99%
“…The many sensors of the engine collect and acquire multi-source monitoring data reflecting the engine exhaust gas, which is essentially a multi-dimensional data set, and each dimension is time series data, and effective methods need to be adopted to fuse these multi-dimensional data [18]. PCA, as one of the common data fusion methods, is simple in principle and can efficiently realize the mapping conversion of the data set from high-dimensional to low-dimensional, in line with the idea of fusing multi-dimensional data into The idea of low-dimensional data representation, therefore it was decided to use PCA to achieve the fusion of engine exhaust multi-source monitoring data.…”
Section: Data Fusionmentioning
confidence: 99%
“…They utilized the Gaussian heat source model. Some researchers investigated especially the HAZ after welding (Waghmare et al, 2019;Dittrich et al, 2019;Basmaci et al, 2020;Cabrilo and Geric, 2018). HAZ is a very important region of the weldment since it is the weakest part of the weldment.…”
Section: Introductionmentioning
confidence: 99%